njmarko / machine-learning-with-graphsLinks
My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
☆29Updated 3 years ago
Alternatives and similar repositories for machine-learning-with-graphs
Users that are interested in machine-learning-with-graphs are comparing it to the libraries listed below
Sorting:
- here you can find the material used for our Tutorials☆103Updated 3 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆195Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- Graph Neural Network Tutorial☆191Updated 5 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆125Updated last year
- Pytorch Geometric link prediction of a homogeneous social graph.☆26Updated 2 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆36Updated last year
- All graph/GNN papers accepted at NeurIPS 2024.☆83Updated 9 months ago
- A repo for holding example code☆157Updated 3 months ago
- Tutorials for Machine Learning on Graphs☆226Updated 4 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆217Updated 9 months ago
- ☆61Updated last year
- A Graph Neural Network project on HIV data☆282Updated last year
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 4 months ago
- Temporal Graph Benchmark project repo☆236Updated last month
- Free hands-on course about Graph Neural Networks using PyTorch Geometric.☆395Updated 2 years ago
- ☆95Updated 2 years ago
- ☆84Updated 3 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated last year
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆142Updated 6 months ago
- A list for GNNs and related works.☆99Updated 2 months ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆81Updated 2 years ago
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 3 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆46Updated last year
- NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024☆79Updated 9 months ago
- Topological Graph Neural Networks (ICLR 2022)☆123Updated 3 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆102Updated 4 years ago
- Source code from the article "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" (Neural Networks, 20…☆17Updated 2 years ago
- ☆155Updated 4 years ago